106年第1學期-1678 財金大數據分析 課程資訊

評分方式

評分項目	配分比例	說明
Assignments/Participation	30
Term Project	30
Quizzes/Exams	40

教育目標

Big data is a term that describes the large volume of data - both structured and unstructured. Big data can be analyzed for insights that lead to better decisions and strategic business moves. In this course, we provide introductory and advanced knowledge to use SAS software for financial big data analysis. We will introduce the essential methodology using SAS for data analytics, business analytics and financial research, with the focus on the application of business and financial analysis. Students are expected to learn the basic SAS programming techniques, as well as financial data analysis skills using SAS Enterprise Guide and SAS Enterprise Miner throughout the course.

基本資料

選修課，學分數：3-0
上課時間：一/5,6,7[M024]
修課班級：財金系2-4
修課年級：年級以上
選課備註：電腦教室

參考書目

Instructor’s Lecture Notes

Learning SAS by Example: A Programmer's Guide, 2007, by Ron Cody

The Little SAS Book, 2012, Fifth Edition, by Lora D. Delwiche, Susan J. Slaughter

Cody's Data Cleaning Techniques Using SAS, Second Edition, 2008, 2nd Edition, by Ron Cody

SAS Statistics by Example, 2012, by Ron Cody

Using SAS in Financial Research, 2002, by Ekkehart Boehmer and John Paul Broussard

Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner: A Beginner's Guide, 2014, by Olivia Parr-Rud